Machine Tool Warm-Up Detection Using Axis Position Data
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Solution Overview
Problem
Existing methods for determining when a machine tool has warmed up are inefficient and require manual adjustments due to environmental changes, such as room temperature or mechanical wear, leading to potential rejects or reduced efficiency.
Innovation Solution
A data-driven method using axis position data to calculate an indication value through a regression model, determining convergence against a threshold value without additional sensors, accounting for environmental changes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If a fixed warm-up time is used based on experience, then the process is simple to operate, but the manufacturing precision deteriorates due to thermal changes affecting machining quality
Solution Approach 1:
The patent implements feedback by continuously monitoring axis position data during the warm-up process and using regression models to calculate thermal stability indicators. The system automatically adjusts the warm-up duration based on real-time thermal stability measurements, ensuring machining precision while maintaining operational simplicity through automated control.
Solution Approach 2:
The machine tool performs self-diagnosis by automatically evaluating its own thermal stability using encoder data from existing sensors. The system independently determines when the warm-up is sufficient based on calculated stability indicators, eliminating the need for manual time setting while ensuring precision requirements are met.
2Manufacturing precision
If the warm-up time is extended to ensure thermal stability, then the manufacturing precision improves, but the productivity deteriorates due to longer operation time
Solution Approach 1:
The patent transforms the static, fixed warm-up time approach into a dynamic process that continuously adapts to actual thermal conditions. The system calculates thermal stability indicators in real-time and adjusts the warm-up duration dynamically, extending it only as long as necessary to achieve the required precision threshold, thereby optimizing both quality and efficiency.
Solution Approach 2:
The system monitors changes in thermal stability parameters during warm-up and uses these parameter variations to determine the optimal termination point. By tracking the convergence of thermal stability indicators rather than using fixed time intervals, the system achieves precise machining quality while minimizing unnecessary warm-up time and maximizing productivity.
3Measurement precision
If additional sensors are installed to measure thermal stability, then the measurement precision improves, but the device complexity increases
Solution Approach 1:
The patent uses axis position data from existing encoders as an intermediary to indirectly measure thermal stability. Instead of directly measuring temperature or thermal expansion with additional sensors, the system calculates thermal stability indicators from positional deviations during warm-up movements, achieving high measurement precision while avoiding increased device complexity.
Solution Approach 2:
The system replaces direct thermal or mechanical measurement systems with a computational approach using existing positional data. By substituting physical thermal sensors with a regression-based calculation method that processes encoder signals, the patent achieves accurate thermal stability measurement without adding hardware complexity.
4Adaptability or versatility
If manual adjustment of warm-up parameters is required to adapt to environmental changes, then the adaptability improves, but the ease of operation deteriorates
Solution Approach 1:
The machine tool automatically adapts to environmental changes by continuously monitoring axis position data and calculating thermal stability indicators. The system independently adjusts warm-up parameters based on real-time measurements without requiring user intervention, maintaining high adaptability to room temperature variations and mechanical wear while preserving operational simplicity.
Solution Approach 2:
The system implements automatic feedback control by comparing measured thermal stability indicators against target values and adjusting warm-up duration accordingly. This closed-loop approach enables the machine to adapt to changing environmental conditions and wear patterns without manual parameter adjustment, combining adaptability with ease of operation through automated control.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Ensures an automated and efficient warm-up process, optimizing energy and material use by eliminating the need for manual adjustments and additional measurements.
Implementation Method 1
thermal changes result in physical effects on the mechanics. Changes in the mechanics cannot guarantee the exact position of high-precision machining operations
Data Source
AI summary
In a method for determining whether a machine tool with a numerical control system for machining a workpiece has warmed up, axis data are obtained which relate to a position of a tool of the machine tool. An indication value is calculated therefrom. It is then determined whether the indication value reaches a predefined threshold value. Furthermore, it is determined whether the machine tool has warmed up, wherein reaching the indication value of the threshold value indicates that the machine tool has warmed up. A method and a machine tool machines workpieces, a computer program product instructs the machine tool, a computer-readable medium stores the computer program product, and a method machines workpieces by the machine tool.